# Rui Liu

> master of Computer Science & Engineering, University of Washington, 2015

**Wikidata**: [Q113667876](https://www.wikidata.org/wiki/Q113667876)  
**Source**: https://4ort.xyz/entity/rui-liu

## Summary
Rui Liu is a computer scientist who earned a master's degree in Computer Science & Engineering from the University of Washington in 2015. Their primary academic work involved research focused on healthcare informatics, specifically a thesis on heart failure readmission risk prediction.

## Biography
- Born: 1990
- Occupation: Computer scientist
- Education:
  - Master's degree in Computer Science & Engineering
  - University of Washington (2015)
- Student of: Senjuti Basu Roy
- Known for: Research on intervention recommendations to minimize 30-day heart failure readmission risk
- Field(s): Computer science, computer engineering (with focus on healthcare informatics)

## Contributions
Rui Liu's most notable published work is their master's thesis, titled "Intervention Recommendations to Minimize the 30-day Risk-of-readmission for Heart Failure," completed in 2015 at the University of Washington. This research represents a concrete contribution to the field of healthcare informatics, specifically applying computational methods to address a significant clinical problem: reducing hospital readmissions for heart failure patients within 30 days of discharge. While the specific impact metrics (e.g., citations, adoption) are not detailed in the source material, the thesis demonstrates Liu's engagement in using data-driven approaches to improve patient outcomes in the cardiovascular domain.

## FAQs
### Q: What is Rui Liu's highest academic degree?
A: Rui Liu holds a master's degree in Computer Science & Engineering, awarded by the University of Washington in 2015.

### Q: Who was Rui Liu's academic advisor?
A: Rui Liu's academic advisor was Senjuti Basu Roy during their master's studies at the University of Washington.

### Q: What was the topic of Rui Liu's master's thesis?
A: Rui Liu's master's thesis focused on "Intervention Recommendations to Minimize the 30-day Risk-of-readmission for Heart Failure."

### Q: Where did Rui Liu study?
A: Rui Liu studied at the University of Washington, earning their master's degree in Computer Science & Engineering in 2015.

## Why They Matter
Rui Liu's work contributes to the intersection of computer science and healthcare, a critical field for improving clinical decision-making and patient outcomes. Their thesis specifically addresses the costly and prevalent problem of heart failure readmissions, demonstrating the application of computational methods to generate actionable clinical insights. By focusing on intervention recommendations to reduce 30-day readmission risk, Liu's research represents a step towards using data analytics to proactively manage patient care, potentially influencing how healthcare systems approach chronic disease management and reduce unnecessary hospital readmissions, impacting both patient health and healthcare resource utilization.

## Notable For
- Earning a Master of Science in Computer Science & Engineering from the University of Washington in 2015.
- Thesis research on "Intervention Recommendations to Minimize the 30-day Risk-of-readmission for Heart Failure."
- Being listed in the WikiProject PCC Wikidata Pilot focused on the University of Washington.
- Studying under advisor Senjuti Basu Roy at the University of Washington.

## Body
### Personal Details
Rui Liu was born in 1990. Their profession is classified as a computer scientist.

### Academic Background
- **Education**: Earned a master's degree (specifically a Master of Science) in Computer Science & Engineering.
- **Institution**: The University of Washington awarded the degree.
- **Year**: 2015.
- **Supervisor**: Senjuti Basu Roy served as their academic advisor during their studies.

### Thesis Research
- **Title**: "Intervention Recommendations to Minimize the 30-day Risk-of-readmission for Heart Failure".
- **Focus**: The research applied computer science and engineering principles to address a specific healthcare challenge: predicting and reducing the risk of patients with heart failure being readmitted to the hospital within 30 days of discharge.
- **Approach**: While the specific methodology isn't detailed in the source, the title indicates the work involved developing or recommending interventions based on risk assessment models.

### Recognition
- Rui Liu was included in the "WikiProject PCC Wikidata Pilot/University of Washington" list, indicating their association with the university in a Wikimedia context.
- Their structured properties and academic thesis details are sourced from Wikidata and academic references, specifically referencing the identifier Q846596 as of August 31, 2022.

## References

1. WorldCat